Tutorial 1, 09:00-10:30 Incremental Delta-Sigma ADCs: Past, Present, and Future
Youngcheol ChaeYonsei University, Seoul, KoreaYoungcheol Chae received the B.S., M.S., and Ph.D. degrees in Electrical and Electronic Engineering from Yonsei University, Seoul, Korea in 2003, 2005 and 2009, respectively. He was with Delft University of Technology, Delft, The Netherlands from 2009 to 2011. Dr. Chae joined the Yonsei University in 2012 and is currently an Associate Professor. His work has focused on data converters and sensor interfaces. This results in 100+ journal and conference papers and 30+ patents. He is a member of the TPCs of International Solid-State Circuits Conference (ISSCC) and Asian Solid-State Circuits Conference (A-SSCC). He has served as a Guest Editor of the Journal of Solid-State Circuits and a Distinguished Lecturer of IEEE Solid-State Circuits Society. He received the Best Young Professor Award in Engineering from Yonsei University in 2018, the Haedong Young Engineer Award from IEIE in 2017, and the Outstanding Research Award of Yonsei University (2017, 2019, 2020).In many sensor applications, a high-resolution analog-to-digital converter (ADC) is a key block. The use of an incremental delta-sigma ADC (IADC) is often well suited for such applications. While the energy-efficiency of IADCs has improved by several orders of magnitude over the past decade, the implementation of high performance IADCs, especially in battery-powered systems, is still challenging. This tutorial explores the fundamentals of IADCs, discusses the advantages of different hybrid architectures, and explains how to improve the energy-efficiency with various design techniques.
Tutorial 2, 10:50-12:20 Mm-Wave PA Designs – Fundamentals, Architectures, and The State of the Art
Hua WangETH ZürichHua Wang received his M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena in 2007 and 2009. He was with Intel and Skyworks Solutions from 2010 to 2011. From 2012 to 2021, he was an associate professor with tenure at the Georgia Institute of Technology and the founding GT Center of Circuits and Systems (CCS). Dr. Wang joined the Swiss Federal Institute of Technology in Zürich (ETH Zürich) in 2021 as a full professor and Chair of the Electronics.
Dr. Wang is interested in innovative analog, mixed-signal, RF, and mm-wave integrated circuits and hybrid systems for communication, sensing, and bioelectronics applications. He has authored or co-authored over 190 peer-reviewed journal and conference papers.
Dr. Wang received the DARPA Director’s Fellowship Award in 2020, the DARPA Young Faculty Award in 2018, the NSF CAREER Award in 2015, the Qualcomm Faculty Award in 2020 and 2021, and the IEEE MTT-S Outstanding Young Engineer Award in 2017.This tutorial presents a focused overview of mm-wave power-amplifier (PA) designs in silicon, including design fundamentals, advanced PA architectures, and the start-of-the-art design examples.
The tutorial will start with an introduction of PA performance metrics and their impacts on wireless systems. Next, it presents the design fundamentals of PA active devices and passive networks as well as power combining strategies. The tutorial discusses advanced PA architectures, including Doherty, Outphasing, and Hybrid PAs, for high efficiency, linearity, and bandwidth. Antenna-PA co-designs are covered as well to achieve on-antenna power combining, active load modulation, and reconfiguration. Further, advance and challenges of high mm-Wave PAs will be covered to address the emerging beyond-5G/6G applications. Finally, the tutorial studies several state-of-the-art mm-wave PA design examples.
Tutorial 3, 14:00-15:30 Always-On Systems for Next-Gen IoT – From Less Battery to Battery-Less
Massimo AliotoNational University of SingaporeMassimo Alioto is a Professor at the National University of Singapore, where he leads the Green IC group, the Integrated Circuits Embedded Systems area, and the FD-fAbrICS research center. Previously, he held visiting positions at the University of California Berkeley (BWRC), University of Michigan Ann Arbor, University of Siena, Intel Labs, EPFL.
He is author of >300 publications and four books, focusing on ultra-low power integrated system design, machine intelligence, and hardware security, among the others.
Currently, he is the Editor-in-Chief of IEEE Transactions on VLSI Systems, Distinguished Lecturer of the IEEE Solid-State Circuits Society, and sub-committee member of ISSCC and ASSCC. Prof. Alioto is an IEEE Fellow.Scaling up the IoT requires its edge to be more autonomous in terms of both energy and intelligence. Edge devices are expected to be mostly- or always-on to avoid missing physical events, in spite of highly-uncertain miniaturized energy sources.
This tutorial introduces the fundamental principles and state-of-the-art circuits to build systems for always-on sensing and monitoring, where intelligence and adaptation are deeply embedded along the entire signal chain, as well as the energy chain. Techniques for ultra-wide power-performance adaptation are presented to keep power within a tight budget in the common case, while occasionally enabling deep event analysis (e.g., via AI). The main sub-systems of IoT sensor nodes are covered, ranging from sensor interfaces to processing/edge intelligence, power management and wireless communications.
At the end of the tutorial, attendees will gain an insight into architectures and circuit techniques for always-on pervasive integrated systems with very limited energy availability.
Tutorial 4, 15:50-17:20 Fundamentals of NAND Flash Memory
Chi-Weon YoonSamsung ElectronicsChi-Weon Yoon is a Vice President of Technology in Samsung Electronics, Hwa-sung, Korea. He received M.S and Ph.D. degrees in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 1999 and 2004 respectively. After receiving the degree, he joined Samsung Electronics and have worked for more than 16 years at Flash Memory Design Team. He holds over 110 global patents about non-volatile memory related circuits and cell operation algorithms. His current research interests include design of high performance and low cost cell-operation algorithms, analog circuits and high speed I/O circuits.As 4th industrial revolution emerges, market demand for big data and AI computing is exponentially growing. Since high capacity and high performance data storage will play a role as a key enabler in data-centric era, related technology is one of the hottest topics of discussion. Along with this trend, NAND flash memory technology also has continued to evolve in terms of higher bit density and higher performance to meet the demand.
In this tutorial, key technologies for implementing NAND flash memory will be presented. The tutorial starts from the basics such as operation concepts, related key circuits and process. Then, it will cover the issues the flash memory is currently facing and state-of-the-art technologies to overcome that hurdles when implementing higher capacity/performance data storage system in detail. Finally, some of candidates for future NAND flash will be introduced.